AjayTsao

AjayTsao's Stars

• mfrdixon/ML_Finance_Codes

  Machine Learning in Finance: From Theory to Practice Book

  Language:Jupyter Notebook1.9k618501

• fengdu78/WZU-machine-learning-course

  温州大学《机器学习》课程资料（代码、课件等）

  Language:Jupyter Notebook1.8k366691

• firmai/machine-learning-asset-management

  Machine Learning in Asset Management (by @firmai)

  Language:Jupyter Notebook1.7k913458

• DefTruth/statistic-learning-R-note

  📒《统计学习方法-李航》200页PDF手推公式细节讲解，包含详细的目录以及R语言代码实现，可结合《统计学习方法》提高学习效率，适合机器学习、深度学习初学者。

  4184255

• Qinbf/Deep-Learning-Tensorflow2

  基于Tensorflow2的深度学习开源书籍

  Language:Jupyter Notebook340911124

• plouto-quants/FBDQA-2019A

  金融大数据量化分析

  Language:Jupyter Notebook21515253

• Alalalalaki/Guide2EconRA

  Language:HTML1849061

• Globe-Research/deep-orderbook

  Deep learning modelling of orderbooks

  Language:Jupyter Notebook924533

• jwwthu/how-to-research

  This is the repository for how to research.

  843030

• giotto-ai/stock-market-crashes

  How to detect stock market crashes with topology.

  Language:Jupyter Notebook786544

• algoquant/HighFreq

  R package for high frequency time series data management

  Language:C++6110628

• BessieChen/R-in-Finance

  This course, taught by Prof.Jerzy in NYU, applies the R programming language to momentum trading, statistical arbitrage (pairs trading), and other active portfolio management strategies. The course implements volatility and price forecasting models, asset pricing and factor models, and portfolio optimization. The course applies machine learning techniques, such as backtesting (cross-validation) and parameter regularization (shrinkage).

  Language:R471117

• Woody2357/2022-Summer-Course

  This is a repository of the supplementary implementation for the 2022 summer course 'Mathematical Theory and Applications of Deep Learning', taught by Professor Haizhao Yang at Tianyuan Mathematical Center in Central China

  Language:Python44208

• bank-of-england/Shapley_regressions

  Statistical inference on machine learning or general non-parametric models

  Language:Python4311014

• tischieber/Quantifying-Network-Structural-Dissimilarities

  Quantifying structural dissimilarities in networks

  Language:R433122

• wenddymacro/Macro-Model_code

  DSGE, Macroeconomic Model, matlab, julia, python, dynare

  Language:MATLAB394029

• bank-of-england/MachineLearningCrisisPrediction

  Language:Python3610119

• mikkelpm/het_agents_bayes

  Estimation of heterogeneous agent models using both macro and micro data

  Language:MATLAB353019

• algoquant/lecture_slides

  NYU Tandon lecture slides

  Language:R304215

• zeyuz35/Evaluation-of-Machine-Learning-in-Asset-Pricing

  Language:TeX28208

• brian-lau/highdim

  Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)

  Language:MATLAB17994

• iandreafc/semanticbrandscore-demo

  Demo for the calculation of the Semantic Brand Score (Basic Version)

  Language:Jupyter Notebook131014

• Sidcito/Financial_Crash_Landscape_Analysis_using_TDA

  Topological Data Analysis of a Financial Time Series for insights from Landscapes for detecting Financial Crashes

  Language:Jupyter Notebook10116

• yongqianxiao/share_repo

  This repo was created for sharing academic notes and files

  8104

• djachoc/Empirical-Methods-ML

  Empirical Methods & Machine Learning

  Language:Jupyter Notebook51012

• yangclaraliu/pandemic_travel_china

  Language:R5200

• cran/ARDL

  :exclamation: This is a read-only mirror of the CRAN R package repository. ARDL — ARDL, ECM and Bounds-Test for Cointegration. Homepage: https://github.com/Natsiopoulos/ARDL Report bugs for this package: https://github.com/Natsiopoulos/ARDL/issues

  Language:R31

• bank-of-england/ThresholdRules

  ThresholdRules

  Language:R2600

• shizelong1985/SVAR-MSH-ID

  R Codes for Bayesian Inference for Structural Vector Autoregressions Identified with Markov-Switching Heteroskedasticity

  Language:R2004

• RobHayward/ARDL

  This is work on ARDL model.

  Language:R10